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  1. Home
  2. Browse by Author

Browsing by Author "Sudamani Ramaswamy, A R"

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    Acceptance Sampling Plan for Truncated Life Tests at Maximum Allowable Percent Defective
    (2012) Sudamani Ramaswamy, A R
    The paper deals with a reliability acceptance sampling plan developed through maximum allowable percent defective (MAPD) having the single sampling plan as attribute plan. By fixing MAPD, we here obtain the test termination ratios, assuming that the lifetime follows different distributions. Comparisons are made and examples are given to illustrate the procedure.
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    Application of Fuzzy Sets Theory to Design Single Sampling Attribute Plan
    (2005-08) Shobana , A; Sudamani Ramaswamy, A R
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    Certain Studies relating to Birnbaum-Saunders Distribution and Generalized Birnbaum-Saunders Distribution
    (2019-04) Deepika, K; Sudamani Ramaswamy, A R
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    Certain Studies Relating to Life Test Sampling Plans for New Weibulling-Pareto Distribution
    (2021-05) Nandhini, A C; Sudamani Ramaswamy, A R
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    Certain Studies Relating to Life Test Sampling Plans for New Weibulling-Pareto Distribution
    (2021-05) Vinodhini, M; Sudamani Ramaswamy, A R
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    Certain Studies Relating to Transmuted Distributions
    (2019-04) Sreemathi, V; Sudamani Ramaswamy, A R
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    Certain Studies Relating to Truncated Life Tests Through Acceptance Sampling Procedures
    (2014-08) Sutharani, S; Sudamani Ramaswamy, A R
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    Construction of Control Chart for Random Queue Length for (M / M / c): (oo / FCFS) Queueing Model Using Skewness
    (2012) Sudamani Ramaswamy, A R
    In this paper, first-come, first served, multiple channel Poisson/exponential queueing system M / M / c with infinite waiting capacity is considered. For this model, we introduce a new procedure for construction of i) Shewhart’s control chart C|, ii) Control chart C3 for random queue length N using the method on skewness suggested by Shore(2000) and the control charts C| and C3 are compared.
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    Designing Double Acceptance Sampling Plans Based on Truncated Life Tests in Rayleigh Distribution Using Minimum Angle Method
    (2012) Sudamani Ramaswamy, A R
    in this paperdouble sampling plans for truncated life tests are developed using minimum angle method when the lifetimes o f the items follows Rayleigh distribution. The values o f operating ratio corresponding to the consumer’s risk and producer’s risk are calculated and using minimum angle method, the value 0 is found. Tables are constructed and examples are provided. By applying Minimum angle method for Designing Double Acceptance Sampling Plans under Reliegh Distribution it is found to be more economic in saving cost, energy and time. It also minimizes the consumers and producers risk simultaneously.
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    DESINGNING GROUP ACCEPTANCE SAMPLING PLANS FOR THE GENERALISED RAYLEIGH DISTRIBUTION USING MINIMUM ANGLE METHOD
    (2012) Sudamani Ramaswamy, A R
    In this paper, Designing Minimum angle Group acceptance sampling plans under the time truncated life test in which the proposed group acceptance sampling plan follows a generalized Rayleigh distribution is presented. Tables are constructed for the proposed plan according to group size, test termination ratio and true mean. Examples are provided.
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    Double Acceptance Sampling Based on Truncated Life Tests in Generalized Exponential Distribution
    (2012) Sudamani Ramaswamy, A R
    In this paper, double acceptance sampling plans for truncated life tests are developed when the lifetimes of test items follows generalized exponential distribution. Probability of acceptance is calculated for different consumer’s confidence levels fixing the producer’s risk. Probability of acceptance and producer’s risk are discussed with the help of tables and examples.
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    Double Acceptance Sampling Based on Truncated Life Tests in Marshall - Olkin Extended Lomax Distribution
    (2012) Sudamani Ramaswamy, A R
    In this paper, double acceptance sampling plans for truncated life tests are developed when the lifetimes of test items follows Marshall - Olkin extended Lomax distribution. Probability of acceptance is calculated for different consumer’s confidence levels fixing the producer’s risk. Probability of acceptance and producer’s risk are discussed with the help of tables and examples.
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    Dynamic Behavoiurs of Delayed Recurrent Neural Networks with Stochastic Perturbation and Markovian Jumping Parameters
    (2014-01) Mala, N; Sudamani Ramaswamy, A R
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    Global exponential stability for stochastic Cohen-Grossberg neural networks with multiple time-varying delays
    (2012) Sudamani Ramaswamy, A R
    In this paper, together with some Lyapunov functionals and effective mathematical techniques, sufficient conditions are derived to guarantee a class o f stochastic Cohen-Grossberg neural networks with multiple time-varying delays to be globally exponential stability by using linear matrix inequality (LMI) approach. Finally, a numerical example is provided to demonstrate the effectiveness o f the proposed method by using MATLAB LMI toolbox.
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    A HYBRID GROUP ACCEPTANCE SAMPLING PLANS FOR LIFETIMES BASED ON EXPONENTIATED WEIBULL DISTRIBUTION
    (2012) Sudamani Ramaswamy, A R
    In this paper we have developed a hybrid group acceptance sampling plan for a truncated life test when the lifetime o f an item follows exponentiated Weibull distribution. The minimum number o f testers and acceptance number are determined when the consumer’s risk and the test termination time and group size are specified. The operating characteristic values according to various quality levels are also obtained.
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    A HYBRID GROUP ACCEPTANCE SAMPLING PLANS FOR LIFETIMES BASED ON WEIBULL DISTRIBUTION
    (2012) Sudamani Ramaswamy, A R
    In this paper we have developed a hybrid group acceptance sampling plan for a truncated life test when the lifetime of an item follows Weibull distribution. The minimum number of testers and acceptance number are determined when the consumer's risk and the test termination time and group size are specified. The operating characteristic values according to various quality levels are also obtained.
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    Passivity Analysis of Markovian Jumping Neural Networks with Leakage Time-Varying Delays
    (2012) Sudamani Ramaswamy, A R
    1 his paper is concerned with the passivity analysis of Markovian jumping neural networks with leakage time-varying delays. Based on a Lyapunov functional that accounts for the mixed time delays, a leakage delay-dependent passivity conditions are derived in terms of linear matrix inequalities (LMIs). Ihe mixed delays includes leakage time-varying delays, discrete time-varying delays, and distributed time-varying delays. By employing a novel Lyapunov-Krasovski! functional having triple-integral terms, new passivity leakage delay-dependent criteria are established to guarantee the passivity performance. This performance not only depends on the upper bound of the time-varying leakage delay a(t) but also depends on the upper bound of the derivative of the time-varying leakage delay While e.stimating the upper hound of derivative of the J.yapunov-Krasov.skii functional, the discrete and distributed delays should be treated so as to appropriately develop less conservative results. Two numerical examples are given to show the validity and potential of the developed criteria.
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    A Study on b-Chromatic Number with Product Graphs
    (2022-01) Yavanapriya, R; Sudamani Ramaswamy, A R
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    A Study on Bipolar Spherical Neutrosophic Cubic Graphs and its Applications
    (2021-06) Akalyadevi, K; Sudamani Ramaswamy, A R
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    A Study on Designing Acceptance Sampling Plans based on truncated life tests under Log-Logistic distribution using Minimum Angle Method
    (2019-07) Tharani, K; Sudamani Ramaswamy, A R
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